Security Scan Report: citybuycityblog-dpfhjxkukapr.edgeone.app

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Submitted: Jun 29, 2026, 5:02:41 AMCompleted: Jun 29, 2026, 5:03:51 AMpubliccompleted
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Summary

This website contacted 25 IPs in 6 countries across 28 domains to perform 2 HTTP transactions. The main domain is citybuycityblog-dpfhjxkukapr.edgeone.app and was registered NaN years ago.

Submitted URL: https://citybuycityblog-dpfhjxkukapr.edgeone.app/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows no phishing, malware, or credential‑harvesting indicators and is assessed as low risk.

Risk Factors
Domain is unranked in Cisco Umbrella
Subdomain creation date is unknown (could be newly created)
Hosted on a generic PaaS subdomain (edgeone.app)
Safety Factors
Absence of forms that collect credentials or payment data
No malicious JavaScript behavior or network exfiltration observed
Content classified as entertainment media with no malicious intent signals
No external links to known malicious domains
Domain age information unavailable

Details

Page Title

steve and maggie halloween video

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(95%)

Domain Information

Within the application-focused generic top-level domain (.app), 'citybuycityblog-dpfhjxkukapr.edgeone.app' is registered with subdomain 'citybuycityblog-dpfhjxkukapr'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. Splitting it apart reveals 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://citybuycityblog-dpfhjxkukapr.edgeone.app/

Page Load Overview

2.51s
Total Load Time
39
HTTP Requests
35
Domains
4.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:1,806 chars
Detector Agreement:60%

Website Classification

Primary Category

entertainment media95% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
95%
documentation technical
67%
education learning
62%
adult content
55%
technology software
53%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1591.234.195.85France
AS210403Groupe LWS SARL
1104.21.2.42United States
AS13335Cloudflare, Inc.
1172.67.168.200United States
AS13335Cloudflare, Inc.
118.66.102.101United States
AS16509Amazon.com, Inc.
1142.251.110.95United States
AS15169Google LLC
1146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1188.114.97.3United States
AS13335Cloudflare, Inc.
13.174.45.153United States
AS16509Amazon.com, Inc.
1188.114.96.3United States
AS13335Cloudflare, Inc.
118.64.1.220United States
AS16509Amazon.com, Inc.
3925--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T101A20BBB52C91539634203C2708272FDB56F6E02EA63C8F1F577B35997C5EC7992202A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SG0hnYf8zX+8Jh6I5h2dGvwvN42FRCLPjPoNjag4n+kA:R0hnz+8JfOdpvW2FYANjag4+T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22386:PAhc4GYGRhgU7aqAhEESBIAAETzNIYglqHRAmBIENxAgFQ0pCNQBNecD+RFCPFQ5SWkUZhxIRHlQmMiNBAUoGFsUAQqQJAAA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:000000003e3c3c3c
Perceptual Hash:8e616d9e91687996
Difference Hash:716501f1f0f1e1f0
Wavelet Hash:1810001c7f7f7e7e
Color Hash:#2d8630

Other Hashes

Scan History

Scan history not available

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